Results 41 to 50 of about 28,610,872 (373)
Demonstrating the value of larger ensembles in forecasting physical systems
Tellus: Series A, Dynamic Meteorology and Oceanography, 2016 Ensemble simulation propagates a collection of initial states forward in time in a Monte Carlo fashion. Depending on the fidelity of the model and the properties of the initial ensemble, the goal of ensemble simulation can range from merely quantifying ...
Reason L. Machete, Leonard A. Smith
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Adversarial Attacks on Time Series [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Time series classification models have been garnering significant importance in the research community. However, not much research has been done on generating adversarial samples for these models. These adversarial samples can become a security concern. In this paper, we propose utilizing an adversarial transformation network (ATN) on a distilled model
Fazle Karim +2 more
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Language Time Series Analysis [PDF]
, 2006 We use the Detrended Fluctuation Analysis (DFA) and the Grassberger-Proccacia analysis (GP) methods in order to study language characteristics. Despite that we construct our signals using only word lengths or word frequencies, excluding in this way huge ...
Abrams +41 more
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Mandelbrot's Stochastic Time Series Models
Earth and Space Science, 2019 I survey and illustrate the main time series models that Mandelbrot introduced into time series analysis in the 1960s and 1970s. I focus particularly on the members of the additive fractional stable family including Lévy flights and fractional Brownian ...
N. W. Watkins
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Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework
IEEE Access, 2023 A wide range of Machine Learning algorithms can model time series to address classification, forecasting, and clustering problems. However, time series may exhibit characteristics that complicate these tasks, such as repeating patterns and seasonal ...
Vitor de Castro Silva +3 more
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Economics: Journal Articles, 2019 Both mathematical modelling and simulation methods in general have contributed greatly to understanding, insight and forecasting in many fields including macroeconomics.
Thompson Erica L., Smith Leonard A.
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Assessing pricing assumptions for weather index insurance in a changing climate
Climate Risk Management, 2014 Weather index insurance is being offered to low-income farmers in developing countries as an alternative to traditional multi-peril crop insurance. There is widespread support for index insurance as a means of climate change adaptation but whether or not
J.D. Daron, D.A. Stainforth
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Real-Time Monitoring System for Shelf Life Estimation of Fruit and Vegetables
Sensors, 2020 The control of the main environmental factors that influence the quality of perishable products is one of the main challenges of the food industry.
Roque Torres-Sánchez +4 more
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A Three-Stage Nonparametric Kernel-Based Time Series Model Based on Fuzzy Data
Mathematics, 2023 In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well as ...
Gholamreza Hesamian +2 more
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Predictive analytics beyond time series: Predicting series of events extracted from time series data
Wind Energy, 2022 Realizing carbon neutral energy generation creates the challenge of accurately predicting time‐series generation data for long‐term capacity planning and for short‐term operational decisions.
Sambeet Mishra +3 more
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